analyze_page

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description takes on full burden. It thoroughly discloses behavior: uses local Qwen model, splits long pages into chunks (map-reduce) to avoid skipping content, reports progress (page fetch retries, per-chunk analysis), and warns about long execution time (30s-3min). This is highly transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with each sentence adding value. It front-loads the core function, then explains special behavior (chunking and progress) and a clear Args section. No redundant phrases.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (2 params, output schema exists, no annotations), the description covers all essential aspects: purpose, parameters, behavior (chunking, progress), and time expectations. The presence of an output schema reduces need for return value details. It is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description provides clear meanings for both parameters: 'url' is the page to fetch/analyze, and 'question' is what to extract or answer. This compensates fully for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description specifies a clear action: fetching a web page and using a Qwen model to extract/answer a question about its content. It distinguishes itself from siblings by focusing on a single URL analysis, whereas search_site_and_analyze implies searching first, and list_available_models is about models.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It clearly states when to use: to fetch a specific page and answer a question about its content. It implicitly contrasts with search_site_and_analyze by mentioning 'a web page' (single URL) vs. site search. However, it does not explicitly mention alternatives or when not to use it, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.